StratoDem Analytics

 

A data science firm helping clients to prepare for economic and demographic forces shaping market outcomes by building predictive models on massive economic and demographic data.

StratoDem Analytics is partnering with industry leaders, investors and real estate developers to help them make decisions faster, earlier and better.

 
 
 Screenshot: cloud-based  Market Insights  application. Section - submarket mapping.

Screenshot: cloud-based Market Insights application. Section - submarket mapping.

 Screenshot: cloud-based  Market Insights  application. Section - household income location quotient.

Screenshot: cloud-based Market Insights application. Section - household income location quotient.

 

Research
by StratoDem Analytics

StratoDem Analytics produces hyper-local economic and demographic forecast to analyze the demand-side growth outlook. 

Recent research article - Opportunity Zone Analysis

StratoDem Analytics Story

An 18 years-long story of building groundbreaking strategy from relying on strong instincts and publicly available data to engineering data pipelines for 200+ governmental data feeds, deploying machine learning to identify patterns that humans simply cannot see, developing statistically rigorous models and algorithms that recalculate instantaneously with every new data feed, and testing and back-testing the outputs to achieve the industry highest forecasting accuracy. 

Blog

Boston, November 17th, 2018 /StratoDem Analytics/ — Opportunity Zone Analysis

- An Opportunity Zone is a census tract identified as an economically-distressed community where new investments may be eligible for preferential tax treatment

- More than 600 of the proposed Opportunity Zones have market areas that already exceed the US median household income

- Roughly 2,600 are likely to outpace US median household income growth over the next five years

In the news

June 2018
Latest Tech Article - A short Review of Data Frames in JavaScript

As a technical review of a StratoDem Analytics data science package, this article from quantitative investment manager Man AHL gives a review of a selection of the current options and poses the question - “what would an ideal JavaScript dataframe look like?